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A security breach at e-commerce platform Dukaan exposed millions of商户和客户长达两年之久,引发了对在线支付安全的严重关切。
Dukaan, a prominent e-commerce platform in India and a notable competitor to Shopify, has been at the center of a significant security breach that went undetected for over two years. The incident, uncovered by Cybernews researchers, involved an unprotected Apache Kafka broker that streamed sensitive data, including payment gateway tokens, potentially exposing millions of merchants and customers to financial fraud.
The security lapse at Dukaan is alarming due to the extensive user base affected and the duration of the breach. Dukaan hosts over 3.5 million merchants and serves 16 million unique customers worldwide. The exposed data includes authentication tokens for major payment gateways like Stripe, PayPal, and RazorPay, which could have allowed attackers to access and manipulate merchant accounts.
The unprotected Kafka instance transmitted over 270,000 messages containing order details every 24 hours. Given the two-year window during which this data was publicly accessible, the potential damage is substantial. Here’s how attackers could have exploited the leak:

The breach could have a significant financial and reputational impact on Dukaan. The platform's rapid growth and broad user base make it an attractive target for cybercriminals. The exposure of such sensitive information not only puts merchants and customers at risk but also undermines trust in the platform’s security measures.
The Dukaan data leak is a stark reminder of the importance of robust security measures in e-commerce platforms. The prolonged exposure of sensitive information highlights the need for continuous monitoring and proactive risk management. As Dukaan works to address this breach, other e-commerce companies should take note and review their own security practices to prevent similar incidents.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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22 October 2025
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